gpt.college

Mistral · Mistral · Reviewed 2026-10-02

Mistral Medium 3.5

Mistral's open-weight multimodal model for coding and agentic workflows.

All models
Overall · 0–10016.2
Status
active
Released
2026-04-28
Context
256,000 tokens
Parameters
Undisclosed
Inputs
Text · Image
Type
multimodal
Max output
— tokens
API model ID
mistral-medium-3-5
Reasoning
—
Knowledge cutoff
—
Training cutoff
—
Weights / license
Available · Modified MIT
Price / 1M tokens
$1.5 in · $7.5 out
Cached input
—
Open weightsVisual inputCoding and agentic tasks
CodingReasoningResearchMultimodalAgentic

Independent benchmark scores

Raw benchmark results

Source-backed rows with the original evaluation context preserved.

6 results
BenchmarkScoreSourceEvaluation notes
AutomationBench-AAChecked 2026-10-02 6% Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.
AA GDP.pdfChecked 2026-10-02 3% Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.
GDPval-AA v2.1Checked 2026-10-02 747 Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.
AA Humanity's Last ExamChecked 2026-10-02 14% Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.
Artificial Analysis Intelligence Index v4.3.2Checked 2026-10-02 14 Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.
AA Terminal-Bench 4.0Checked 2026-10-02 0% Artificial Analysis Artificial Analysis Intelligence Index v4.3.2; configuration=AA evaluated Medium 3.5 configuration. Rounded public score; checked date is not the evaluation execution date.

Strengths

  • Open weights
  • Visual input
  • Coding and agentic tasks

Limitations

  • Unconfirmed specifications remain undisclosed; missing evaluation results remain unranked
Task lenses preserve raw scores. Radar axes use score / current leader × 100; overall is the equal-weight average of all five indices. Missing evidence is not a zero or a low rank.